code: def build_model(self, embeddings, label_dict, **kwargs):
      model_args = dict(self.model_args)
      for k in kwargs:
          if k in model_args:
              del model_args[k]
      return self.model_cls(
          embeddings=embeddings,
          label_type=self.train_label_type,
          **model_args,
          **kwargs,
      )
  
file_path: flair/tests/models/test_tars_classifier.py
imports: import pytest
  from flair.data import Sentence
  from flair.datasets import ClassificationCorpus
  from flair.embeddings import TransformerDocumentEmbeddings
  from flair.models import TARSClassifier
  from tests.model_test_utils import BaseModelTest
label_desc: Use image node_id 4 for calling the TestTarsClassifier obj's underlying member method code with example usage: obj.build_model(embeddings, label_dict) and returns: self